Social Issues and Usable Security and Privacy
Session Chair: Veronica Rivera, Stanford University
Ballroom 6C
Analyzing the AI Nudification Application Ecosystem
Cassidy Gibson and Daniel Olszewski, University of Florida; Natalie Grace Brigham, University of Washington; Anna Crowder, Kevin R. B. Butler, and Patrick Traynor, University of Florida; Elissa M. Redmiles, Georgetown University; Tadayoshi Kohno, University of Washington
Easy As Child's Play: An Empirical Study on Age Verification of Adult-Oriented Android Apps
Yifan Yao, Shawn McCollum, Zhibo Sun, and Yue Zhang, Drexel University
Abusability of Automation Apps in Intimate Partner Violence
Shirley Zhang, University of Wisconsin–Madison; Paul Chung, University of California, San Diego; Jacob Vervelde, Nishant Korapati, Rahul Chatterjee, and Kassem Fawaz, University of Wisconsin–Madison
Malicious LLM-Based Conversational AI Makes Users Reveal Personal Information
Xiao Zhan, King's College London; Juan Carlos Carrillo, VRAIN, Universitat Politècnica de València; William Seymour, King's College London; Jose Such, King's College London and VRAIN, Universitat Politècnica de València
An Industry Interview Study of Software Signing for Supply Chain Security
Kelechi G. Kalu, Tanmay Singla, Chinenye Okafor, Santiago Torres-Arias, and James C. Davis, Purdue University
A First Look at Governments' Enterprise Security Guidance
Kimberly Ruth and Raymond Buernor Obu, Stanford University; Ifeoluwa Shode, Fisk University; Gavin Li, Stanford University; Carrie Gates, FS-ISAC; Grant Ho, University of Chicago; Zakir Durumeric, Stanford University
SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
Yunsung Chung, Yunbei Zhang, Nassir Marrouche, and Jihun Hamm, Tulane University
Characterizing and Detecting Propaganda-Spreading Accounts on Telegram
Klim Kireev, EPFL, MPI-SP Max Plank Institute for Security and Privacy; Yevhen Mykhno, unaffiliated; Carmela Troncoso, EPFL, MPI-SP Max Plank Institute for Security and Privacy; Rebekah Overdorf, Ruhr University Bochum (RUB), Research Center Trustworthy Data Science and Security in University Alliance Ruhr, University of Lausanne
Distinguished Paper Award Winner